Neutron stars are ultra-dense remnants of massive stars that collapsed after supernova explosions and are made up mostly of subatomic particles with no electric charge (i.e., neutrons). When two ...

Optimizing Blinatumomab Access for Low- and Middle-Income Countries: Feasibility of a Shortened, Vial-Sharing, Outpatient Approach for Pediatric ALL We retrospectively analyzed 473 adult patients with ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Genetic Algorithms are widely used as global optimization solvers for complex and non-convex problems in industrial applications (resource and load planning, workshop logistics, process control, etc.) ...

Neil Hunter, a professor in the Department of Microbiology and Molecular Genetics, has discovered a crucial step in how chromosomes stay connected during the development for egg cells and sperm, ...

ABSTRACT: The Tabu Search heuristic can be used to optimise the WET (waste to energy technology). Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper ...

The simulation run by Hayashi and his colleagues sheds new light on the complex physics of binary neutron star mergers, showing that when these mergers are followed by the formation of black holes, ...

The estimation of joint torque based on wearable sensors is an important content in human–robot interaction research. Despite existing joint torque estimation models providing high accuracy, their ...

The biological research of UC Santa Cruz’s Needhi Bhalla to determine the molecular motions at the heart of heredity has yielded a new discovery: The proper transfer of genetic materials depends on ...

The emergence of quantum computing has brought with it multiple applications like hybrid classic-quantum evolutionary optimization algorithms. In electromagnetics, optimization has always been present ...